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Dimensional Analysis


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  1. This lecture is an introduction to kinematics which ultimately leads (in Lecture 4) to trajectories in three-dimensions. Professor Lewin begins with a description of one-dimensional motion of a particle. He talks about average velocity, the importance of  + and  - signs, and our free choice of origin. He moves into a conversation about average speed vs. average velocity, instantaneous velocity (reviewing when velocity is zero,...more

  2. An example of conservation of momentum in two dimensions.

  3. We finish the 2-dimensional momentum problem.

  4. Using vectors to solve 2 dimensional projectile motion problems.

  5. More on 2 dimensional projectile motion.

  6. Completing our first example from parts 1 and 2.

  7. Another example of a 2-dimensional projectile motion problem.

  8. The second part of the last projectile motion problem.

  9. February 11, 2009 lecture by Jefferson Tester for the Woods Energy Seminar (ENERGY301). In his talk "A Pathway for Widespread Utilization of Geothermal Energy--the Roles of Multi-scale Resource and Technology Research and Systems Analysis," Tester talks about the benefits and challenges of harnessing geothermal energy, and he asserts that it is a large resource that complements solar and wind energy and is both carbon free and scalable.

  10. A Wrap Up of Multi-dimensional Arrays, The ArrayList Way, Pros and Cons : ArrayList vs. Array, Debugging, Approaches to Debugging, The Debugger in Eclipse

  11. This course offers a holistic view of the aircraft as a system, covering: basic systems engineering; cost and weight estimation; basic aircraft performance; safety and reliability; lifecycle topics; aircraft subsystems; risk analysis and management; and system realization. Small student teams retrospectively analyze an existing aircraft covering: key design drivers and decisions; aircraft attributes and subsystems; and operational...more

  12. Algorithm Analysis, Evaluating the Performance, Analysis of Codes: Statement Counts, Another Example (Statement Count Contd.), Comparing Algorithm, Big-O Notation, Big-O to Predict the Time of Execution, Best/Worst/Average Case, Analysis of Recursive Algorithms, Another Example : Towers of Hanoi, A Tabulation for Different Algorithms, Growth Patterns, Application of Algorithm Analysis to Sorting, Selection Sort, Selection Sort Code